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Development and validation of a Database Forensic Metamodel (DBFM)

Database Forensics (DBF) is a widespread area of knowledge. It has many complex features and is well known amongst database investigators and practitioners. Several models and frameworks have been created specifically to allow knowledge-sharing and effective DBF activities. However, these are often...

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Detalles Bibliográficos
Autores principales: Al-dhaqm, Arafat, Razak, Shukor, Othman, Siti Hajar, Ngadi, Asri, Ahmed, Mohammed Nazir, Ali Mohammed, Abdulalem
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Public Library of Science 2017
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC5287479/
https://www.ncbi.nlm.nih.gov/pubmed/28146585
http://dx.doi.org/10.1371/journal.pone.0170793
Descripción
Sumario:Database Forensics (DBF) is a widespread area of knowledge. It has many complex features and is well known amongst database investigators and practitioners. Several models and frameworks have been created specifically to allow knowledge-sharing and effective DBF activities. However, these are often narrow in focus and address specified database incident types. We have analysed 60 such models in an attempt to uncover how numerous DBF activities are really public even when the actions vary. We then generate a unified abstract view of DBF in the form of a metamodel. We identified, extracted, and proposed a common concept and reconciled concept definitions to propose a metamodel. We have applied a metamodelling process to guarantee that this metamodel is comprehensive and consistent.